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118                                            Socially Intelligent Agents

                             child interactions [18]. Overall, results so far seem to indicate that a) the robot
                             can serve as an interesting and responsive interaction partner (which might be
                             used in teaching social interaction skills), and b) that the robot can potentially
                             serve as a social facilitator and a device that can be used to assess the commu-
                             nication and social interaction competencies of children with autism. In order
                             to investigate robot-human interactions systematically, in the Aurora project
                             two analysis techniques have been developed and tested.

                             2.     Analysis of Interactions
                             2.1     Methodological Issues

                               Trials are conducted at a room at Radlett Lodge School - the boarding school
                             that the children participating in the trial attend. This has many advantages
                             such as familiar surroundings for the children and the availability of teachers
                             who know the children well. The fact that the children do not need to travel
                             and that the trials inflict a minimum amount of disruption to lessons also helps
                             the children to adapt to the change in schedule.
                               The room used is approximately two meters by three meters, and is set aside
                             for us and so does not contain extra features or excess furniture. The robotic
                             platform used in this research is a Labo-1 robot. The robot is 30cm wide by
                             40cm long and weighs 6.5kg. It is equipped with eight infrared sensors (four
                             at the front, two at the rear and one at either side), as well as a heat sensor
                             on a swivel mount at the front of the robot. Using its sensors, the robot is
                             able to avoid obstacles and follow a heat source such as a child. Additionally,
                             a speech synthesiser unit can produce short spoken phrases using a neutral
                             intonation. The robot is heavy enough to be difficult for the children to pick
                             up and is robust enough to survive an average trial, including being pushed
                             around. The programming of the robot allows it to perform basic actions, such
                             as avoiding obstacles, following children and producing speech. The robot
                             will try to approach the child, respond vocally to his presence, and avoid other
                             obstacles - as well as not coming into actual contact with the child. All trials are
                             videotaped. In the following, the quantitative approach described in section 2.2
                             analyses robot-human interactions in comparative trials. Section 2.3 introduces
                             a qualitative approach that is applied to analyse the interactions of one child
                             with the robot and adults present during the trials.

                             2.2     A Quantitative Approach

                               The trials involve the child showing a wide variety of actions and responses
                             to situations. Unexpected actions are usually positive results and free expres-
                             sion and full-body movements are encouraged. In order to examine the inter-
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